100 Payroll Software Questions: What ChatGPT Recommends

The payroll software ChatGPT recommended most often was Gusto, in 73 of 100 answers, and Gusto was its own pick in 61 of the 100. In short: one default, and a field the model describes but seldom picks.

Gusto is in every recommendation pick

Gusto is named in 73 of 100 answers, recommended in all 73 and picked in 61. All 20 recommendation-intent queries produced a pick from the dictionary, and Gusto was picked in every one of them. It was the only pick for an ecommerce store, a real estate brokerage and a business replacing the accountant who runs its payroll. QuickBooks Payroll and ADP were picked in 9 of the 20 each, Rippling in 7, Justworks in 5. Only one other category so far has a brand in every recommendation answer that made a pick, QuickBooks in accounting (19 of 19), and no other brand in this series is picked in all 20.

The rest of the field is recommended, then passed over

Below Gusto, the rest of the field is mostly recommended for some case, but far less often the answer's own verdict. ADP is named in 46 answers, recommended in 45 and picked in 23. QuickBooks Payroll is named in 40 and picked in 25. OnPay 31 and 14. Paychex is named in 28 answers, recommended in 26 and picked in 8, and three of those eight are the questions about a 50-person company, a mid-size company and employees in multiple states. The highest pick rates after Gusto belong to brands with a clear lane: Justworks is picked in 15 of its 18 appearances, Deel in 13 of 18, most often for international, remote and contractor payroll and for startups, and Patriot in 12 of 20, mostly on price, simplicity and very small teams.

The model asks for your headcount before it commits

In most answers the model ends by asking the buyer for headcount, often with states and benefits. Nineteen answers make no pick of their own, more than any earlier category except payment processing (22). Only one answer recommended no dictionary brand at all: the open source alternative to Gusto, which named Frappe HR, Horilla and Odoo, none of them in the payroll dictionary. The comparison queries show the caution most clearly. All 30 head-to-heads recommended every brand named for some case, but only 21 picked every brand named, the second-lowest of the seven categories after payment processing (19), and seven picked none of them. Gusto versus ADP, Gusto versus Paychex and ADP versus Paychex each came back as a side-by-side followed by a request for headcount; Deel versus Remote asked whether the buyer was hiring or being hired. Two of the seven, both involving Paycor, noted that Paychex acquired Paycor in 2025.

The vertical prompts mostly kept the general field

Most vertical prompts left the general field in place. Nonprofits got picks of Gusto, OnPay, Justworks and ADP; law firms got Gusto, ADP, Paychex, OnPay and QuickBooks Payroll. A real estate brokerage got Gusto as its pick, with ADP, Rippling, OnPay and Square Payroll recommended for other cases. Restaurants got Toast Payroll and Homebase alongside Gusto and ADP. Healthcare practices got Paylocity alongside Gusto and ADP. Two prompts did swap the field: household employers were pointed to Poppins Payroll, SurePayroll and HomePay, with no pick, and construction companies to Payroll4Construction, Foundation Software, Sage, ADP and Miter, with Gusto and QuickBooks Payroll kept for small private-work contractors.

More than half the picks go to brands that rank

Brands whose own site ranks for the query take most of the picks here. Of the 383 recommended brand mentions, 202 were for brands whose own website does not rank in Google's top ten organic results for that query, 53 percent. Of the 246 picked mentions, 113 were, 46 percent. Both are the lowest of the seven categories. Google's top ten for payroll queries is also the most vendor-heavy so far: 347 of the 1,000 organic results are brand sites, and gusto.com alone is in the top ten for 58 of the 100 queries, adp.com for 48.

One website is the reading list

A single website tops the model's reading list by a wide margin. Across 100 answers there were 314 citation events to 91 domains, one per cited domain per answer. gusto.com alone accounts for 65 of them, 21 percent of every citation in the category, and it is cited in 65 of the 100 answers. Forty-eight of those 65 answers are to questions that do not mention Gusto at all: "best payroll software for restaurants", "ADP alternatives", "which payroll software should I use if I have employees in multiple states". Gusto publishes comparison and guide pages on its competitors, and the model reads them. The next most-cited domains are adp.com (20), patriotsoftware.com (15) and intuit.com (13). Sixty-one percent of all citation events went to vendors' own sites, the highest share of the seven categories, and 49 answers cited nothing but vendor pages. Fit Small Business (12) and G2 (10) lead the third-party sources. Reddit and Wikipedia have zero citations, for the seventh teardown running.

One hundred thirty-four of the 314 citation events involved a domain that also sat in Google's top ten for that query, 43 percent, the highest overlap so far.

The table sets ChatGPT's payroll software answers beside the other categories tested earlier in the series, side by side under the same rulebook.

What ChatGPT's recommendations mean for payroll software brands comes down to four things, in order.

Your competitor's content can be your competitor's recommendation engine. In this category the model reads gusto.com to answer questions about ADP, Paychex and restaurant payroll. A vendor that publishes the category's best comparison pages is writing the model's briefing notes. If that vendor is not you, you are being described in someone else's words.

Answer the headcount question on the page. The model asks for employee count in most answers, and in 19 it picks nothing. The brand that states "for 1 to 50 employees in one state" in plain words gives the model a condition it can use.

Being recommended is not being picked. Paychex is one of the largest payroll companies in the country. It is recommended for some case in 26 of the 28 answers that name it, and picked in 8. Scale gets you into the list; a stated case gets you chosen from it.

Specialists win their lane. Deel for international and contractors, Patriot on price, Toast Payroll for restaurants. Deel is picked in 13 of its 18 appearances and Patriot in 12 of its 20, both more than twice Paychex's rate. A narrow case stated clearly beats a broad one.

The limitations of the ChatGPT payroll software test start with variance: one run per query means answer variance is unmeasured; Benchmark 01 runs each query three times across three surfaces. The teardowns are collected on different days, so differences between categories mix the category with the date. The brand dictionary covers the general payroll software market and deliberately excludes vertical tools, so their appearances are described in prose and not counted. The readers are AI models, not people: they follow a written protocol and agree with each other closely, but a shared blind spot would not show up as disagreement. The line between picked and recommended is a judgment, documented in the protocol with examples. Sentiment is not coded. No vendor-tool cross-check was read for this category. Google's control counts a brand as ranking only when its own domain is in the top ten; a listicle that features the brand does not count. The ChatGPT answers and Google controls for this category were collected four days after the earlier teardowns, through the live connector rather than the standard queue; the settings are the same, the window is not. The dictionary excludes vertical tools by design; Payroll4Construction, Miter, Restaurant365 and HR for Health appear in answers but are not counted.

Every number above can be recomputed from the ChatGPT payroll software dataset below, so download it and check it rather than believe it. CC BY 4.0: use the files, cite the page.

• queries.csv: the 100 queries with intent labels.
• brands.csv: the 55-brand dictionary with aliases and canonical domains.
• mentions.csv: 433 coded brand mentions with position, type, a 0/1 picked column and whether the brand's domain was in Google's top ten.
• citations.csv: 314 citation events with domain class and Google overlap.
• observations.csv: one row per query with brand, recommendation, citation and control counts.
• codebook.md: the rulebook, with dated amendments through v2.0.
• reader-protocol.md: the written protocol both readers coded against (codebook v2.0).
• picked_stats.json: the picked-level figures.

The earlier teardowns: Teardown 01, project management, Teardown 02, CRM, Teardown 03, email marketing, Teardown 04, help desk, Teardown 05, accounting, Teardown 06, payment processing. This teardown is also being published on the High Salience Substack.

The ChatGPT test we ran on payroll software can be run on your own category too. In the wider series: seven categories, and the reading list is the story.

In payroll the model's picks track one vendor's website. In help desk they track a comparison blog nobody had heard of. In accounting they track NerdWallet. Finding out what the model is reading for your category is the first thing a Category Salience Brief does, with a query set you approve first.

Turning a category read like this into a plan, and then into picks, is what our AI SEO services are for.

For companies selling payroll software, the same data sets the plan for B2B SaaS SEO across Google and AI answers.